similar to: equivalent of the Splus function "eboulis()"

Hi, I want to know which distance is using in the function kmeans and if we can change this distance. Indeed, in the function pam, we can put a distance matrix in parameter (by the line "pam<-pam(dist(matrixdata),k=7)" ) but we can't do it in the function kmeans, we have to put the matrix of data directly ... Thanks in advance, Nicolas BOUGET

Hi, I want to know if there is a difference between the two hierarchical methods Agnes and hclust when there are used with the same method and the same metric on the same data! I ask this question because I executed the following program: hc <- hclust(dist(AGRIINSTTableFinaleCR), "ward") agnes<-agnes(dist(AGRIINSTTableFinaleCR),method="ward") And clusters are not the

Dear all, Has anyone written R code for partial Mantel Tests- as described for instance in Legtendre & Legendre (1998) ? In other words, in a community ecology analysis, I would like to calculate the correlation between two dissimilarity matrices, controlling for a third distance matrix representing geographical distances between sites. Thanks! Christophe Bouget Biodiversité et gestion des

hello all, I want to draw a figure with multiple plot on the same page using the par(fig=value) parameter but > par(fig = c(0, 50, 60, 95)/100, adj = 5/10) > eboulis(iris.acp) > par(fig = c(45, 100, 60, 95)/100, mgp = c(3, 1/2, 0)) > boites(iris.acp) draw the graphics on 2 different pages. what am I doing wrong ? thanks for your help. Mathieu [using R 0.65 under Linux Redhat

hi there, trying to follow the steps of Yan & Rossini 2003, I have two problems : first when I 'make CrossCompileBuild', I get : ****************************************************************************** make[1]: Entering directory `/home/ros/RWORK/CROSSSOMP/WinR/R-1.8.0/src/gnuwin32' make -f Makefile.docfiles make[2]: Entering directory

Hello, We would like to begin discussions around a new set of intrinsics, to better express multi-dimensional array indexing within LLVM. The motivations and a possible design are sketched out below. Rendered RFC link here <https://github.com/bollu/llvm-multidim-array-indexing-proposal/blob/master/RFC.md> Raw markdown: # Introducing a new multidimensional array indexing intrinsic ## The

We could also simply extend the existing inrange mechanism to non-constantexpr GEPs.  It would remove an inconsistency in the semantics, be relatively straight forward, and solve the motivating example. (I didn't read the proposal in full, so there may be other examples it doesn't solve.) Philip On 7/22/19 10:01 AM, Peter Collingbourne via llvm-dev wrote: > The restrictions of

> It seems that the main advantage of your proposal is that it would allow for non-constant strides (i.e. variable length arrays) in dimensions other than the first one. Do these appear frequently enough in the programs that you're interested in to be worth optimizing for? Yes - at least in Chapel (which is one of the motivating languages) these are very common. In other words, typical

A small comment: The code of Agnes is written in Fortran. Following book give more details: Kaufman, L. and Rousseeuw, P.J. (1990). _Finding Groups in Data: An Introduction to Cluster Analysis_. Wiley, New York. The 'hclust' function is based an Algorithm contributed to STATLIB by F. Murtagh and the code is written in C. Probably the differences between agnes and hclust causes

It's also very common in Fortran. -David Michael Ferguson via llvm-dev <llvm-dev at lists.llvm.org> writes: >> It seems that the main advantage of your proposal is that it would >> allow for non-constant strides (i.e. variable length arrays) in >> dimensions other than the first one. Do these appear frequently >> enough in the programs

Hi, I think I understand what the problem is. The return type will also be an untyped pointer, just like GEP. However, GEP needs to know what the size of one element is. Like it is now with overloadable intrinsics, we might derive it from the suffix. Another solution is that we pass the element and array sizes in bytes, instead of multiples of the element size. As a third options, we might change

Hello, I've the following list n: > n [[1]] [1] "NEW" "OLD" "PRG" [[2]] [1] "04h" "24h" [[3]] [1] "000mM" "010mM" "025mM" "050mM" "100mM" where n <- dimnames(some.multidim.array) I'm trying to define a generic function that generates meaningful names from this list, e.g.

Intrinsics can return `llvm_any_ty` (Intrinsics.td). In that case the return type is added as a suffix to the intrinsic's name, i.e. the syntax in the RFC is not 100% the syntax for intrinsics. Same for the parameters which each must have their types explicitly mentioned. Michael Am Mo., 22. Juli 2019 um 19:08 Uhr schrieb Kaylor, Andrew <andrew.kaylor at intel.com>: > > Is it

I've not seen an answer to this in any forum. I make a call through Asterisk, with a VOIP phone, doesn't matter which. The call gets made, I leave a voicemail, or complete the call in some manner, and the other side hangs up. I hear a busy signal on the phone on my end. If I have an extension that looks like this, after the hangup() is executed, my phone gives busy signals until I

Hello, how can I get the similarity value (i.e., the inner cluster similarity) that was used to cut a hierarchical tree at a specific height? I would appreciate your help! Best regards, Madeleine

Hello. I run samba 3.0.21c on RHEL AS 4 EMT_64 U3 and I've experienced a strange problem where smbd will go (and stay) in the D state. While waiting for IO (possibly), these smbd processes do not respond to client requests, thus samba appears to be down. I could not kill these processes via kill -9 , so I rebooted which worked. The only error I could see out of the ordinary would be

I've been trying to get plot.hclust to work with a hclust object I created and have not had much success. It seems that there is some "hidden" characteristic of a hclust object that I can't see. This is most easily seen in the following example, where plot.hclust works on one object, but when this object is "dumped" and then re-read, plot.hclust no longer works. Is

library(mva) data(USArrests) hc <- hclust(dist(USArrests), "ave") plot(hc) # OK dump(c("hc"), "tst") rm(hc) source("tst") plot(hc) # Error in plot.hclust(hc) : invalid dendrogram input The same problem occurs with dput/dget --please do not edit the information below-- Version: platform =

Dear R-users, I need some help concerning the plotting of dendrograms for hierarchical agglomerative clustering. The agglomeration niveau of each step should be displayed at the branches of the dendrogram. For this I need the x/y coordinates of the branch-agglomerations of the dendrogram. The y-values are known (the heights of the agglomeration), but how can I get the x-values? > mydata

Buenas tardes a todos, Estoy interesado en cambiar los límites del eje y en un dendograma construído utilizando la función hclust(). A continuación un ejemplo: hc <- hclust(dist(USArrests), "ave") plot(hc) Hasta aquí todo bien. Si quisiera cambiar los límites del eje "y" de c(0, 200)? Al usar plot(hc, ylim = c(0, 200)) no observo efecto alguno. Qué puedo hacer?